Machine Learning Jobs in Woking

Cohere · United Kingdom

Deploy Cohere's North AI workspace platform into private cloud and on-premises environments, leading planning, configuration, testing and rollout. Partner with enterprise IT teams on infrastructure, security and data management, administer large-scale Kubernetes clusters with Helm, and travel up to 20-40% to customer sites. Requires active DV clearance (preferred) and strong cloud, networking and virtualization expertise.

Tenth Revolution Group · London · £85,000 – £110,000 pa

Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Acts as a trusted technical advisor to customers, driving data governance, observability, quality and lineage standards, and shaping architecture, tooling and best practices across the platform. Combines hands-on data platform design with technical leadership and AI strategy in a fully remote UK role.

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with CI/CD, monitoring and governance. Partner with Product, Engineering, Credit and Operations to embed controls.

Cohere · United Kingdom

Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.

Harnham - Data and Analytics Recruitment · Liverpool · £50,000 – £55,000 pa

Builds and deploys predictive and statistical models, including customer segmentation, lifetime value, churn and forecasting, across the full data science lifecycle from problem definition to production. Works with analysts, engineers and business stakeholders, presenting insights to non-technical audiences while helping shape best practices in a growing function.

Faculty · Remote (UK)

Sets technical direction for complex ML projects in the defence sector, designing and maintaining scalable ML/software systems while justifying architectural decisions. Leads hiring, mentoring and shared library development, working 2-4 days per week on client sites with UK travel and the rest remote or from the London office.

Leo Technology · London · £60,000 – £70,000 pa

Technical Business Analyst role sitting between business and software engineering, translating complex requirements, mapping system integrations and data flows, and driving process and platform improvements. Works across regulatory change, system enhancements and new platform capabilities, with scope to explore AI, ML and automation, while mentoring less experienced BAs.

Cohere · United Kingdom

Interns design, train and improve cutting-edge models, help develop techniques to train and serve models safer and faster, and work on extremely large-scale training over massive datasets. They explore continual and active learning for streaming data, collaborate with product teams, and learn from senior ML staff. The role is a full-time 3-6 month internship, co-op or research work term for currently enrolled students.

Holt Executive · Oxfordshire · £60,000 – £94,000 pa

This role involves designing and developing advanced computer vision algorithms for object detection, tracking, and 6DoF pose estimation, integrating them into embedded and flight software, and supporting system-level testing and validation. The engineer will lead technical efforts, mentor team members, and collaborate across disciplines including GNC, flight dynamics, and hardware. Work spans algorithm design, sensor integration, and robust deployment in safety-critical or aerospace environments.

Harnham - Data and Analytics Recruitment · London · £120,000 – £150,000 pa

Lead and build a data science function at a fintech, owning strategy across risk, affordability and lending decisioning. Hands-on work designing and deploying machine learning models using credit risk, Open Banking and customer data, with a focus on model governance, MLOps and AI-powered decisioning alongside Product, Engineering and Credit Risk teams.

NVIDIA · United Kingdom

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. It offers high visibility with senior leadership given the strategic priority of deep learning platforms.

NVIDIA · Cambridge

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA · Reading

Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.

ARM · Dublin, Ireland

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.

Relation Therapeutics · London

Join the Platform Team to design and scale a hybrid compute cluster spanning private and multiple public clouds. You will manage Kubernetes-based infrastructure, build core platform services and APIs, improve CI/CD pipelines, and set up monitoring, backup and security practices while supporting Machine Learning and Data Science teams.